{"id":"W2886052349","doi":"10.1080/16549716.2018.1496972","title":"Subnational regional inequality in access to improved drinking water and sanitation in Indonesia: results from the 2015 Indonesian National Socioeconomic Survey (SUSENAS)","year":2018,"lang":"en","type":"article","venue":"Global Health Action","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"World Health Organization","keywords":"Sanitation; Indonesian; Socioeconomic status; Inequality; Socioeconomics; Improved sanitation; Geography; Environmental health; Economic growth; Development economics; Economics; Medicine; Environmental science; Environmental engineering; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001922346,0.000152844,0.0001988448,0.0001685614,0.0002695764,0.0001831632,0.000189819,0.0001293358,0.00001168266],"category_scores_gemma":[0.0001427814,0.0001273678,0.00002567382,0.0002996834,0.00006944692,0.0007238343,0.00007651167,0.0002170739,0.00002375462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467048,"about_ca_system_score_gemma":0.0001389852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02387093,"about_ca_topic_score_gemma":0.1184404,"domain_scores_codex":[0.997661,0.0005961849,0.0006595974,0.0004468939,0.0002959119,0.0003404085],"domain_scores_gemma":[0.9990383,0.0002974652,0.0001889677,0.0001358271,0.0002272701,0.0001121407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004042957,0.000150076,0.9817412,0.00002171668,0.000008585788,5.184693e-7,0.001653077,0.00005338756,0.0001069611,0.0001147524,0.00716653,0.004940247],"study_design_scores_gemma":[0.002876434,0.00007302906,0.989275,0.00004847627,0.000001823221,0.000004076381,0.00009667425,0.0007487157,0.0002072036,0.006084403,0.0004498198,0.0001343309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412586,0.00002374169,0.0001211231,0.05677192,0.0008534578,0.0006031492,0.0002911974,0.00003242671,0.00004440581],"genre_scores_gemma":[0.9899774,0.00001106694,0.00008978707,0.007621169,0.0006632157,0.00003233097,0.001593266,0.00001022668,0.000001542691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0945695,"threshold_uncertainty_score":0.9826292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07660933095247566,"score_gpt":0.4000119610542701,"score_spread":0.3234026301017945,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}